A Coordinated and Resilient Formation Strategy Based on Hierarchical Reorganization

Multi-leader formations offer superior flexibility and adaptability compared to single-leader configurations. However, the failure of even a single leader can pose significant risks to the overall success of hierarchical formations. Although existing strategies to address leader failures often rely on dynamic re-election mechanisms, these approaches are primarily tailored to single-leader configurations. To overcome these limitations, this paper presents a resilient formation strategy based on hierarchical reorganization. The central concept is to endow the formation with fail-tolerance through seamless leadership transitions while preserving overall agility. Specifically, we propose a comprehensive fail-tolerant leadership evaluation algorithm capable of selecting the most agile leadership configuration while maintaining formation safety. Recognizing that distributed evaluations may yield inconsistent leader selections, we integrate a Raft-based configuration consensus mechanism to achieve distributed agreement during hierarchical reorganization. Additionally, to guarantee the smooth execution of the reorganization process, a synchronous state updating strategy is adopted to mitigate communication delays, thereby facilitating seamless reconfiguration. We conducted extensive simulations and real-world experiments. Experiments results across multiple scenarios demonstrate that the proposed strategy swiftly identifies malfunctioning leaders, mitigates their adverse effects through hierarchical reorganization, and improves the mission success rate of a 7-UAV formation from 28.6% to 85.7%. Overall, our findings show that the proposed approach not only addresses individual agent failures but also significantly enhances the formation's stability and robustness.

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Publication Details

Journal
IEEE Robotics and Automation Letters
Published
2025-09-01
DOI
https://doi.org/10.1109/lra.2025.3604698
Primary Topic
Complex Systems and Decision Making
Type
article
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article

A Coordinated and Resilient Formation Strategy Based on Hierarchical Reorganization

Wei Dong, Yuzhu Li
IEEE Robotics and Automation Letters
Complex Systems and Decision Making
article

A Coordinated and Resilient Formation Strategy Based on Hierarchical Reorganization

Wei Dong, Yuzhu Li
article en

Abstract

Multi-leader formations offer superior flexibility and adaptability compared to single-leader configurations. However, the failure of even a single leader can pose significant risks to the overall success of hierarchical formations. Although existing strategies to address leader failures often rely on dynamic re-election mechanisms, these approaches are primarily tailored to single-leader configurations. To overcome these limitations, this paper presents a resilient formation strategy based on hierarchical reorganization. The central concept is to endow the formation with fail-tolerance through seamless leadership transitions while preserving overall agility. Specifically, we propose a comprehensive fail-tolerant leadership evaluation algorithm capable of selecting the most agile leadership configuration while maintaining formation safety. Recognizing that distributed evaluations may yield inconsistent leader selections, we integrate a Raft-based configuration consensus mechanism to achieve distributed agreement during hierarchical reorganization. Additionally, to guarantee the smooth execution of the reorganization process, a synchronous state updating strategy is adopted to mitigate communication delays, thereby facilitating seamless reconfiguration. We conducted extensive simulations and real-world experiments. Experiments results across multiple scenarios demonstrate that the proposed strategy swiftly identifies malfunctioning leaders, mitigates their adverse effects through hierarchical reorganization, and improves the mission success rate of a 7-UAV formation from 28.6% to 85.7%. Overall, our findings show that the proposed approach not only addresses individual agent failures but also significantly enhances the formation's stability and robustness.

IEEE Robotics and Automation LettersVol. 10(10)
Shanghai Jiao Tong University (CN)
Openalex Percentile: Top 73%
Complex Systems and Decision Making
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A Coordinated and Resilient Formation Strategy Based on Hierarchical Reorganization — Wei Dong, Yuzhu Li · IEEE Robotics and Automation Letters (2025) | TGRS Research Map | TGRS